Resilient Operational Planning for Microgrids Against Extreme Events Zhao, Cunzhi Silva-Rodriguez, Jesus Li, Xingpeng 2022-12-27T19:04:38Z 2022-12-27T19:04:38Z 2023-01-03
dc.description.abstract This paper proposes a novel resilience index, a microgrid survivability rate (SR) under extreme events, and then proposes a novel Resilient Operational Planning (ROP) algorithm to maximize the proposed resilience index SR. The proposed ROP algorithm can incorporate predetermined inverter failure probabilities and generate multiple scenarios accordingly to optimize resilient operations during an extreme event. The implemented ROP algorithm consists of two main steps: (i) optimization of resilient operational planning, and (ii) preventive resilience enhancement if minimum SR is not met per the analysis in step 1. A typical microgrid (MG) is studied to compare the proposed ROP algorithm against a traditional microgrid energy management (MEM) model. Results indicate that an enhanced resilience operation is achieved by the ROP algorithm, which is demonstrated by the quantification of resilience via the SR. Moreover, the proposed ROP algorithm is able to obtain a greater SR overall compared to that achieved by the traditional MEM, and this benefit of using the proposed ROP increases as the inverter failure probabilities increase.
dc.format.extent 7
dc.identifier.isbn 978-0-9981331-6-4
dc.language.iso eng
dc.relation.ispartof Proceedings of the 56th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject Distributed, Renewable, and Mobile Resources
dc.subject community microgrid
dc.subject extreme event
dc.subject failure probability
dc.subject inverter failure
dc.subject resilient operational planning
dc.title Resilient Operational Planning for Microgrids Against Extreme Events
dc.type.dcmi text
prism.startingpage 2545
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